CN116421154A

CN116421154A - Wearable biosensing monitoring device, system and method

Info

Publication number: CN116421154A
Application number: CN202310271517.3A
Authority: CN
Inventors: 林苑菁; 黄丽婷; 杨圳森
Original assignee: Southern University of Science and Technology
Current assignee: Southern University of Science and Technology
Priority date: 2023-03-09
Filing date: 2023-03-09
Publication date: 2023-07-14

Abstract

The invention discloses a wearable biosensing monitoring device, a system and a method, wherein the device comprises: the device comprises a glucose detection module, a sodium ion detection module, a temperature detection module, a heart rate detection module, a power supply module and a control module; the glucose detection module is used for detecting a glucose signal; the sodium ion detection module is used for detecting sodium ion signals; the temperature detection module is used for detecting a temperature signal; the heart rate detection module is used for detecting a heart rate signal; the control module is used for obtaining glucose parameters, sodium ion parameters, temperature parameters and heart rate parameters according to the glucose signals, the sodium ion signals, the temperature signals and the heart rate signals; the power module is used for supplying power to the glucose detection module, the sodium ion detection module, the temperature detection module, the heart rate detection module and the control module. The invention realizes continuous and dynamic monitoring of physiological parameters and biochemical parameters, and can describe the integrity of the physical function state of the user in the motion process.

Description

Wearable biosensing monitoring device, system and method

Technical Field

The invention relates to the technical field of wearable equipment, in particular to a wearable biosensing monitoring device, a system and a method.

Background

The movement process of the human body undergoes complex physiological and biochemical changes, so that the detection of a single physiological parameter cannot completely describe the physical function state in the movement process.

The current wearable biosensing monitoring equipment supporting the exercise monitoring in the market mainly focuses on monitoring physiological parameters such as pulse rate, heart rate, electrocardiogram, step number and the like of a user, and cannot monitor biochemical parameters such as sodium ions, glucose and the like, so that the existing wearable biosensing monitoring equipment cannot completely describe the physical function state in the exercise process.

Accordingly, the prior art is still in need of improvement and development.

Disclosure of Invention

In view of the above-mentioned shortcomings of the prior art, the present invention aims to provide a wearable biosensing monitoring device, system and method, so as to solve the problem that the existing wearable biosensing monitoring device cannot completely describe the physical function state in the movement process due to the fact that biochemical parameters such as sodium ions, glucose and the like cannot be monitored.

The technical scheme of the invention is as follows:

a wearable biosensing monitoring device, comprising: the device comprises a glucose detection module, a sodium ion detection module, a temperature detection module, a heart rate detection module, a power supply module and a control module; wherein,,

The glucose detection module is connected with the control module and is used for detecting a glucose signal and feeding the glucose signal back to the control module;

the sodium ion detection module is connected with the control module and is used for detecting sodium ion signals and feeding the sodium ion signals back to the control module;

the temperature detection module is connected with the control module and is used for detecting a temperature signal and feeding the temperature signal back to the control module;

the heart rate detection module is connected with the control module and is used for detecting heart rate signals and feeding back the heart rate signals to the control module;

the control module is respectively connected with the glucose detection module, the sodium ion detection module, the temperature detection module and the heart rate detection module and is used for obtaining glucose parameters, sodium ion parameters, temperature parameters and heart rate parameters according to the glucose signals, the sodium ion signals, the temperature signals and the heart rate signals;

the power module is respectively connected with the glucose detection module, the sodium ion detection module, the temperature detection module, the heart rate detection module and the control module and is used for supplying power to the glucose detection module, the sodium ion detection module, the temperature detection module, the heart rate detection module and the control module.

In a further arrangement of the invention, the control module comprises: the device comprises a microcontroller, an analog-to-digital conversion unit and a wireless unit; wherein,,

the analog-to-digital conversion unit is respectively connected with the glucose detection module, the sodium ion detection module, the temperature detection module and the heart rate detection module and is used for converting the glucose signal, the sodium ion signal, the temperature signal and the heart rate signal into digital signals and transmitting the digital signals to the microcontroller;

the microcontroller is used for obtaining glucose parameters, sodium ion parameters, temperature parameters and heart rate parameters after conversion processing according to the digital signals obtained by converting the glucose signals, the sodium ion signals, the temperature signals and the heart rate signals;

the microcontroller is also used for controlling the working mode of the wearable biological sensing monitoring device according to the heart rate parameters;

when the heart rate parameter is smaller than or equal to a preset heart rate parameter threshold value, the microcontroller is awakened every first preset time, and when the heart rate parameter is larger than the preset heart rate parameter, the microcontroller is awakened every second preset time;

the wireless unit is connected with the microcontroller and used for sending the glucose parameter, the sodium ion parameter, the temperature parameter and the heart rate parameter to the mobile terminal.

According to a further aspect of the present invention, the glucose detection module includes: a glucose sensor and a glucose detection unit; the glucose detection unit is connected with the glucose sensor;

wherein the glucose detection unit includes: the transimpedance amplifying circuit, the inverter and the first low-pass filter circuit;

the transimpedance amplifying circuit is respectively connected with the glucose sensor and the inverter and is used for converting a sensor current signal into a sensor voltage signal;

the inverter is respectively connected with the transimpedance amplifying circuit and the first low-pass filter circuit and is used for outputting an inverted sensor voltage signal to the first low-pass filter circuit after inverting the sensor voltage signal;

the first low-pass filter circuit is respectively connected with the inverter and the control module and is used for carrying out rate noise filtering processing on the voltage signal of the inverted sensor and outputting the voltage signal to the control module.

According to a further arrangement of the invention, the sodium ion detection module comprises: a sodium ion sensor and a sodium ion detection unit; the sodium ion detection module is connected with the sodium ion sensor;

wherein the sodium ion detection unit includes: the buffer circuit, the first differential amplifying circuit and the second low-pass filter circuit;

The buffer circuit is respectively connected with the sodium ion sensor and the first differential amplifying circuit and is used for detecting a voltage signal between two electrodes of the sodium ion sensor;

the first differential amplifying circuit is respectively connected with the buffer circuit and the second low-pass filter circuit and is used for amplifying a voltage signal between two electrodes of the sodium ion sensor and outputting a first amplified signal to the second low-pass filter circuit;

the second low-pass filter circuit is respectively connected with the first differential amplifying circuit and the control module and is used for filtering the first amplified signal and outputting the first amplified signal to the control module.

According to a further arrangement of the invention, the temperature detection module comprises: a temperature sensor and a temperature detection unit; the temperature detection unit is connected with the temperature sensor;

wherein the temperature detection unit includes: a wheatstone bridge circuit, a second differential amplifying circuit and a third low-pass filter circuit;

the Wheatstone bridge circuit is respectively connected with the temperature sensor and the second differential amplifying circuit and is used for outputting a voltage signal according to the temperature change of the temperature sensor to the second differential amplifying circuit;

The second differential amplifying circuit is respectively connected with the Wheatstone bridge circuit and the second low-pass filter circuit and is used for amplifying the voltage signal output according to the temperature change of the temperature sensor and outputting a second amplified signal to the second low-pass filter circuit;

the second low-pass filter circuit is respectively connected with the second differential amplifying circuit and the control module and is used for filtering the second amplified signal and outputting the second amplified signal to the control module.

According to a further arrangement of the invention, the heart rate detection module comprises: a heart rate sensor and a heart rate detection unit; the heart rate detection unit is connected with the heart rate sensor;

wherein the heart rate detection unit comprises: a filter circuit and an amplifying circuit;

the heart rate sensor is connected with the filter circuit and is used for emitting a light source, receiving reflected light reflected by human tissues and converting the reflected light into an electric signal to be output;

the filter circuit is respectively connected with the heart rate sensor and the amplifying circuit and is used for filtering the electric signal output by the heart rate sensor and outputting a low-frequency signal to the amplifying circuit after noise filtering;

The amplifying circuit is respectively connected with the filtering circuit and the control module and is used for amplifying the low-frequency signal and then outputting a third amplified signal to the control module.

Further, the power module of the present invention includes: a lithium battery and power management unit; wherein,,

the lithium battery is connected with the power management unit;

the power management unit is respectively connected with the glucose detection module, the sodium ion detection module, the temperature detection module, the heart rate detection module and the control module and is used for supplying power to the glucose detection module, the sodium ion detection module, the temperature detection module, the heart rate detection module and the control module.

Based on the same inventive concept, the invention also provides a wearable biosensing monitoring system, which comprises a mobile terminal and the wearable biosensing monitoring device; wherein,,

the wearable biosensing monitoring device is in wireless connection with the mobile terminal and is used for sending the glucose parameter, the sodium ion parameter, the temperature parameter and the heart rate parameter to the mobile terminal;

The mobile terminal is used for displaying the glucose parameter, the sodium ion parameter, the temperature parameter and the heart rate parameter in real time and obtaining a physiological signal and biochemical signal curve according to the glucose parameter, the sodium ion parameter, the temperature parameter and the heart rate parameter.

Based on the same inventive concept, the invention also provides a wearable biosensing monitoring method applied to the wearable biosensing monitoring device, which comprises the following steps:

the glucose signal, the sodium ion signal, the temperature signal and the heart rate signal are respectively detected by the glucose detection module, the sodium ion detection module, the temperature detection module and the heart rate detection module and fed back to the control module;

the control module obtains glucose parameters, sodium ion parameters, temperature parameters and heart rate parameters according to the glucose signals, the sodium ion signals, the temperature signals and the heart rate signals;

and the control module sends the glucose parameter, the sodium ion parameter, the temperature parameter and the heart rate parameter to a mobile terminal for real-time display.

The invention further provides that the method further comprises the following steps:

the control module controls the working mode of the wearable biological sensing monitoring device according to the heart rate parameter; when the heart rate parameter is smaller than or equal to a preset heart rate parameter threshold value, the control module is awakened every first preset time, and when the heart rate parameter is larger than the preset heart rate parameter, the control module is awakened every second preset time.

The invention provides a wearable biosensing monitoring device, a system and a method, wherein the device comprises: the device comprises a glucose detection module, a sodium ion detection module, a temperature detection module, a heart rate detection module, a power supply module and a control module; the glucose detection module is used for detecting a glucose signal and feeding the glucose signal back to the control module; the sodium ion detection module is used for detecting a sodium ion signal and feeding back the sodium ion signal to the control module; the temperature detection module is used for detecting a temperature signal and feeding back the temperature signal to the control module; the heart rate detection module is used for detecting a heart rate signal and feeding back the heart rate signal to the control module; the control module is used for obtaining glucose parameters, sodium ion parameters, temperature parameters and heart rate parameters according to the glucose signals, the sodium ion signals, the temperature signals and the heart rate signals; the power module is used for supplying power to the glucose detection module, the sodium ion detection module, the temperature detection module, the heart rate detection module and the control module. According to the invention, the glucose detection module, the sodium ion detection module, the temperature detection module and the heart rate detection module are integrated on the wearable device, so that the physiological parameters (the temperature parameters and the heart rate parameters) and the biochemical parameters (the glucose parameters and the sodium ion parameters) are continuously and dynamically monitored, and the physical function state in the movement process of a user can be completely described.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained from the structures shown in these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic block diagram of a wearable biosensing monitoring system in accordance with the present invention.

FIG. 2 is a schematic circuit diagram of a glucose test unit according to the present invention.

Fig. 3 is a schematic circuit diagram of a sodium ion detection unit according to the present invention.

Fig. 4 is a schematic circuit diagram of a temperature detection unit in the present invention.

Fig. 5 is a schematic circuit diagram of the centering rate detection unit of the present invention.

Fig. 6 is a flow diagram of the operation of the wearable biosensing monitoring system in one embodiment of the invention.

Fig. 7 is a flow chart of the wearable biosensing monitoring method of the present invention.

The marks in the drawings are as follows: 100. a wearable biosensing monitoring device; 110. a glucose detection module; 111. a glucose sensor; 112. a glucose detection unit; 113. a transimpedance amplification circuit; 114. an inverter; 115. a first low-pass filter circuit; 120. a sodium ion detection module; 121. a sodium ion sensor; 122. a sodium ion detection unit; 123. a buffer circuit; 124. a first differential amplifying circuit; 125. a second low pass filter circuit; 130. a temperature detection module; 131. a temperature sensor; 132. a temperature detection unit; 133. a wheatstone bridge circuit; 134. a second differential amplifying circuit; 135. a third low pass filter circuit; 140. a heart rate detection module; 141. a heart rate sensor; 142. a heart rate detection unit; 143. a filter circuit; 144. an amplifying circuit; 150. a power module; 151. a lithium battery; 152. a power management unit; 160. a control module; 161. a microcontroller; 162. an analog-to-digital conversion unit; 163. a wireless unit; 164. a serial port communication unit; 170. a storage unit; 200. a mobile terminal.

Detailed Description

The invention provides a wearable biosensing monitoring device, a system and a method, which are used for making the purpose, the technical scheme and the effect of the invention clearer and more definite, and the invention is further described in detail below by referring to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.

In the description and claims, unless the context specifically defines the terms "a," "an," "the," and "the" include plural referents. If there is a description of "first", "second", etc. in an embodiment of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature.

It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. The term "and/or" as used herein includes all or any element and all combination of one or more of the associated listed items.

It will be understood by those skilled in the art that all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs unless defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.

In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present invention.

The inventor researches that during the exercise process, the human body can generate various types of exercise biological signals: a motor bio-posture signal, a motor biochemical signal, a motor electrophysiological signal, a biological tissue kinetic signal. These signals can be summarized into two broad categories: chemical information and physical information. Different types of signals all contain specific vital sign information. The physical function state of the athlete can be monitored by real-time monitoring of the physiological and biochemical signals of the human body. Currently, wearable biosensing monitoring devices supporting exercise monitoring are mainly focused on monitoring physiological parameters such as pulse rate, heart rate, electrocardiogram, step number and the like of users, for example, pulse oximeters for detecting pulse waves through photoelectric devices and exercise bracelets for measuring step numbers through inertial sensors and accelerometers.

The motion process of the human body is subjected to complex physiological and biochemical changes, so that the single physiological parameter detection cannot completely describe the physical function state in the motion process, and analysis and judgment are needed to be carried out by monitoring biochemical information data of the human body at a microscopic level (molecules, ions and the like).

Sweat, which is a body fluid that is sampled conveniently, contains a variety of substances that indicate biochemical information, such as electrolytes (sodium, potassium, calcium) and metabolites (lactic acid, glucose, etc.) in human sweat. This biochemical information also implies vital sign information, such as excessive loss of sodium in sweat leading to hyponatremia, muscle cramping or dehydration, and increased lactic acid content in sweat is associated with a shift from an aerobic to an anaerobic metabolic state. Compared with the traditional blood analysis, the sweat analysis has the unique advantage of non-invasive acquisition, can be acquired in a non-invasive way at any position of human skin, has low risk, and is suitable for real-time and continuous monitoring of biochemical information.

In addition, in the development of the current wearable device, the wearable device cannot be equipped with a large battery due to the limitation of volume and weight, so that the cruising ability is poor.

In order to solve the technical problems, the invention provides a wearable biosensing monitoring device, a system and a method, wherein a glucose detection module, a sodium ion detection module, a temperature detection module and a heart rate detection module are integrated on a wearable device so as to realize continuous and dynamic monitoring of physiological parameters (temperature parameters and heart rate parameters) and biochemical parameters (glucose parameters and sodium ion parameters), thereby integrally describing the physical function state of a user in the movement process. In addition, the control module can adjust the low power consumption mode of the biosensing monitoring device according to the detected heart rate parameter, so that self-adaption energy conservation can be realized, and the cruising ability is prolonged.

Referring to fig. 1 to 6, the present invention provides a wearable biosensing monitoring system.

As shown in fig. 1, the present invention further provides a wearable biosensing monitoring system, which includes a mobile terminal 200 and a wearable biosensing monitoring device 100. The wearable biosensing monitoring device 100 is wirelessly connected with the mobile terminal 200, and is configured to send the glucose parameter, the sodium ion parameter, the temperature parameter and the heart rate parameter to the mobile terminal 200; the mobile terminal 200 is configured to display the glucose parameter, the sodium ion parameter, the temperature parameter, and the heart rate parameter in real time, and obtain a physiological signal and biochemical signal curve according to the glucose parameter, the sodium ion parameter, the temperature parameter, and the heart rate parameter.

Specifically, the wearable biosensing monitoring device 100 acquires and processes biochemical signals (such as a glucose signal and a sodium ion signal) and physiological signals (such as a temperature signal and a heart rate signal) in body fluid when a user moves to obtain a glucose parameter, a sodium ion parameter, a temperature parameter and a heart rate parameter, and then sends the obtained glucose parameter, sodium ion parameter, temperature parameter and heart rate parameter to the mobile terminal 200, and the mobile terminal 200 is provided with an APP for processing the glucose parameter, sodium ion parameter, temperature parameter and heart rate parameter. After the mobile terminal 200 receives the glucose parameter, the sodium ion parameter, the temperature parameter and the heart rate parameter, the glucose parameter, the sodium ion parameter, the temperature parameter and the heart rate parameter can be displayed in real time, and the physiological parameter and the biochemical parameter can be drawn wirelessly according to the glucose parameter, the sodium ion parameter, the temperature parameter and the heart rate parameter, so that a user can intuitively observe the change condition of the physiological signal and the physiological signal generated by the human body in a period of time, and thus, the body function state in the motion process of the user can be completely described, the body function state information in the motion process of the human body can be obtained in real time, and further, the basis is provided for evaluating the exercise training intensity.

In some embodiments, the mobile terminal 200 may be a cell phone terminal, tablet terminal, or the like, and in one implementation, the mobile terminal 200 may be a cell phone terminal.

Referring to fig. 1, in some embodiments, the wearable biosensing monitoring device 100 includes: glucose detection module 110, sodium ion detection module 120, temperature detection module 130, heart rate detection module 140, power module 150, and control module 160. The glucose detection module 110 is connected to the control module 160, and is configured to detect a glucose signal and feed back the glucose signal to the control module 160; the sodium ion detection module 120 is connected with the control module, and is used for detecting a sodium ion signal and feeding back the sodium ion signal to the control module 160; the temperature detection module 130 is connected to the control module 160, and is configured to detect a temperature signal and feed back the temperature signal to the control module 160; the heart rate detection module 140 is connected to the control module 160, and is configured to detect a heart rate signal and feed back the heart rate signal to the control module 160; the control module 160 is respectively connected to the glucose detection module 110, the sodium ion detection module 120, the temperature detection module 130, and the heart rate detection module 140, and is configured to obtain a glucose parameter, a sodium ion parameter, a temperature parameter, and a heart rate parameter according to the glucose signal, the sodium ion signal, the temperature signal, and the heart rate signal; the power module 150 is respectively connected to the glucose detection module 110, the sodium ion detection module 120, the temperature detection module 130, the heart rate detection module 140 and the control module 160, and is configured to supply power to the glucose detection module 110, the sodium ion detection module 120, the temperature detection module 130, the heart rate detection module 140 and the control module 160.

Specifically, the power module 150 is used as a power supply device of the whole device, and is respectively connected with the control module 160, the glucose detection module 110, the sodium ion detection module 120, the temperature detection module 130, and the heart rate detection module 140 to respectively supply power to each module. When the wearable biosensing monitoring device 100 is in the working mode, the glucose detection module 110 detects a glucose signal of a user in a motion state and feeds back the glucose signal to the control module 160, the sodium ion detection module 120 detects a sodium ion signal of the user in the motion state and feeds back the sodium ion signal to the control module 160, the temperature detection module 130 detects a temperature signal of the user in the motion state and feeds back the temperature signal to the control module 160, and the heart rate detection module 140 detects a heart rate signal of the user in the motion state and feeds back the heart rate signal to the control module 160. And the control module 160 performs conversion processing on the glucose signal, the sodium ion signal, the temperature signal and the heart rate signal to obtain a glucose parameter, a sodium ion parameter, a temperature parameter and a heart rate parameter.

Thus, by integrating the glucose detection module 110, the sodium ion detection module 120, the temperature detection module 130 and the heart rate detection module 140 on a wearable device, the present invention can achieve continuous, dynamic and noninvasive monitoring of physiological parameters (temperature parameters and heart rate parameters) and biochemical parameters (glucose parameters and sodium ion parameters), so that the body function status (including heart rate, temperature, concentration of sweat metabolites and concentration of sweat electrolytes) during the movement of the user can be completely described.

Referring to fig. 1, in a further implementation of an embodiment, the control module 160 includes: a microcontroller 161, an analog-to-digital conversion unit 162 and a wireless unit 163. The analog-to-digital conversion unit 162 is respectively connected to the glucose detection module 110, the sodium ion detection module 120, the temperature detection module 130, and the heart rate detection module 140, and is configured to convert the glucose signal, the sodium ion signal, the temperature signal, and the heart rate signal into digital signals and transmit the digital signals to the microcontroller 161; the microcontroller 161 is configured to convert the digital signals obtained by converting the glucose signal, the sodium ion signal, the temperature signal, and the heart rate signal to obtain a glucose parameter, a sodium ion parameter, a temperature parameter, and a heart rate parameter; the microcontroller 161 is further configured to control an operation mode of the wearable biosensing monitoring device 100 according to the heart rate parameter; wherein the microcontroller 161 is awakened every a first preset time when the heart rate parameter is less than or equal to a preset heart rate parameter threshold, and the microcontroller 161 is awakened every a second preset time when the heart rate parameter is greater than the preset heart rate parameter; the wireless unit 163 is connected to the microcontroller 161 for transmitting the glucose parameter, the sodium ion parameter, the temperature parameter and the heart rate parameter to the mobile terminal 200.

Specifically, the control module 160 may be a system-on-chip (SOC), and the control module 160 is integrated with a microcontroller 161 (MCU), an analog-to-digital conversion unit 162 (ADC), and a wireless unit 163. The analog-to-digital conversion unit 162 and the wireless unit 163 are both connected to the microcontroller 161, the analog-to-digital conversion unit 162 converts the received analog signals (the glucose signal, the sodium ion signal, the temperature signal and the heart rate signal) into digital signals and sends the digital signals to the microcontroller 161, and then the microcontroller 161 converts the digital signals to obtain glucose parameters, sodium ion parameters, temperature parameters and heart rate parameters. The microcontroller 161 outputs the glucose parameter, the sodium ion parameter, the temperature parameter and the heart rate parameter to the wireless unit 163, and sends (wirelessly transmits via bluetooth protocol) the glucose parameter, the sodium ion parameter, the temperature parameter and the heart rate parameter to the mobile terminal 200 for real-time display.

The wearable biosensing monitoring device 100 has a normal operation mode and a low power consumption mode, that is, the power module 150 can be controlled such that the microcontroller 161 switches between the normal operation mode and the low power consumption mode. In the normal operation mode, the wearable biosensing monitoring device 100 performs sampling operation, and in the low power consumption mode, the wearable biosensing monitoring device 100 is in a sleep state.

The wearable biosensing monitoring device 100 starts to sample when being awakened when being in the low power consumption mode, and after the signal detection work is completed, the wearable biosensing monitoring device 100 enters a sleep state (power supply of the glucose detection module 110, the sodium ion detection module 120, the temperature detection module 130 and the heart rate detection module 140 is turned off through the power switch circuit) and continues to enter the low power consumption mode. The heart rate parameter can be used as psychological signal data to reflect the motion intensity of a human body, so that the sweating condition of the sweat of the birth signal detection source can be predicted. Therefore, during the active mode, the microcontroller 161 may be configured to wake up for a second preset time when the collected heart rate parameter is higher than a preset heart rate parameter, for example, the preset heart rate parameter is 100, so that the wearable biosensing monitoring device 100 may sample every second preset time, for example, may sample every 4 seconds, so as to increase the sampling amount of the biochemical and physiological signal data within a certain period of time. When the heart rate parameter is detected to be less than or equal to the preset heart rate parameter, the micro controller 161 wakes up at a first preset time, that is, the wearable biosensing monitoring device 100 samples once every second preset time, for example, 10 seconds can be detected for sampling once, so that the data sampling amount of biochemical and physiological signals in a certain period of time can be reduced, thereby dynamically adjusting the power consumption of the wearable biosensing monitoring device 100 and realizing self-adaptive energy saving.

Referring to fig. 1, in some embodiments, the control module 160 further includes a serial port communication unit 164, where the serial port communication unit 164 is connected to the microcontroller 161 to collect and send data.

Referring to fig. 1, in some embodiments, the control module 160 may further be externally connected to a storage unit 170, where the storage unit 170 is connected to the microcontroller 161 to expand the memory.

Referring to fig. 1 and 2, in a further implementation of an embodiment, the glucose detection module 110 includes: a glucose sensor 111 and a glucose detection unit 112; the glucose detection unit 112 is connected to the glucose sensor 111; wherein the glucose detection unit 112 includes: a transimpedance amplifier circuit 113, an inverter 114, and a first low-pass filter circuit 115; the transimpedance amplifier circuit 113 is respectively connected with the glucose sensor 111 and the inverter 114 and is used for converting a sensor current signal into a sensor voltage signal; the inverter 114 is connected to the transimpedance amplifier circuit 113 and the first low-pass filter circuit 115, and is configured to invert the sensor voltage signal and output an inverted sensor voltage signal to the first low-pass filter circuit 115; the first low-pass filter circuit 115 is respectively connected to the inverter 114 and the control module 160, and is configured to perform rate noise filtering processing on the inverted sensor voltage signal and output the processed signal to the control module 160.

Specifically, the glucose sensor 111 is a glucose amperometric sensor, and the glucose detection unit 112 is a glucose electrochemical detection unit.

The glucose sensor 111 converts the glucose concentration parameter in the body fluid into a current signal, and the current signal is converted and amplified into a voltage signal by the transimpedance amplifier circuit 113 (impedance conversion amplifier circuit) at the microampere level because the output current signal of the glucose amperometric sensor is weak and because the microcontroller 161 can only collect a voltage signal. The latter stage employs a first low pass filter circuit 115 (butterworth low pass filter) for filtering out high frequency noise introduced during signal conditioning.

The transimpedance amplifier circuit 113 includes a first operational amplifier U1, a first resistor R1, and a second resistor R2, the inverter 114 includes a second operational amplifier U2, and the first low-pass filter circuit 115 is configured by a third operational amplifier U3 and a fourth operational amplifier U4. The sensor current flows in from the inverting input end of the first operational amplifier U1, flows out from the output end through the second resistor R2 and plays a role of current-to-voltage conversion, wherein the output voltage is equal to the product of the input current and the second resistor R2. Since the sensor current flows from the inverting input terminal of the first operational amplifier U1, the output voltage of the first operational amplifier U1 is also negative, and therefore the inverter 114 (an inverting voltage follower circuit formed by the second operational amplifier U2) is required to convert the negative voltage into the positive voltage (the magnitude is not changed) to obtain the inverted sensor voltage signal, and then the inverted sensor voltage signal is subjected to the noise filtering process by the first low-pass filter circuit 115 and output to the analog-to-digital conversion unit 162.

It should be noted that: amperometric electrochemical detection techniques are those in which a constant potential of a certain magnitude is applied between electrodes in an electrolytic cell system to cause an oxidation-reduction reaction of an electroactive species, thereby producing a response current that is proportional to the concentration of a target analyte. The invention selects the amperometric enzyme biosensor as the electrochemical sensing means for detecting sweat metabolites. Enzyme biosensors are formed by immobilizing biological enzymes on the surface of an electrode or directly combining the biological enzymes with the electrode, and utilize the high specificity and catalytic efficiency of the enzymes for target analytes to catalyze chemical reactions of the target analytes so as to generate current signals.

Referring to fig. 1 and 3, in a further implementation of an embodiment, the sodium ion detection module 120 includes: a sodium ion sensor 121 and a sodium ion detection unit 122; the sodium ion detection module 120 is connected with the sodium ion sensor 121; wherein the sodium ion detecting unit 122 includes: a buffer circuit 123, a first differential amplifying circuit 124, and a second low-pass filter circuit 125; the buffer circuit 123 is connected to the sodium ion sensor 121 and the first differential amplifying circuit 124, respectively, and is configured to detect a voltage signal between two electrodes of the sodium ion sensor 121; the first differential amplifying circuit 124 is connected to the buffer circuit 123 and the second low-pass filter circuit 125, and is configured to amplify the voltage signal between the two electrodes of the sodium ion sensor 121 and output a first amplified signal to the second low-pass filter circuit 125; the second low-pass filter circuit 125 is connected to the first differential amplifying circuit 124 and the control module 160, and is configured to perform noise filtering processing on the first amplified signal and output the first amplified signal to the control module 160.

Specifically, the sodium ion sensor 121 is a sodium ion potentiometric sensor, and the sodium ion detection unit 122 is a sodium ion electrochemical detection unit.

The sodium ion sensor 121 converts the concentration of sodium ions in the body fluid into a voltage signal, and the output impedance is high because the output voltage signal of the sodium ion potential sensor is weak. Therefore, the voltage follower used by the pre-stage circuit in the detection circuit serves as a Buffer circuit 123 (Buffer), which has the characteristics of high input impedance and low output impedance, and is impedance matched. The intermediate stage circuit is a first differential amplifier circuit 124 (differential amplifier) capable of amplifying a differential signal and suppressing a common mode signal, and is suitable for amplifying a potential difference between sensors. Since the detected voltage signal is a signal close to zero frequency, the latter stage circuit employs a second low-pass filter circuit 125 (butterworth low-pass filter) to filter out high-frequency noise introduced during conditioning.

The buffer circuit 123 includes a fourth operational amplifier U4 and a fifth operational amplifier U5, where the fourth operational amplifier U4 and the fifth operational amplifier U5 respectively form two voltage followers as buffers to respectively detect the electric potential between two electrodes of the sodium ion potential sensor, and the buffer circuit has high input impedance and low output impedance, and can isolate interference. The first differential amplifying circuit 124 includes a sixth operational amplifier U6, a third resistor R3, a fourth resistor R4, and a fifth resistor R5, where the third resistor R3 is connected to an inverting input terminal of the sixth operational amplifier U6, the fourth resistor R4 is connected to an inverting input terminal of the sixth operational amplifier U6, the fifth resistor R5 is connected between the inverting input terminal and an output terminal of the sixth operational amplifier U6, and the third resistor R3, the fourth resistor R4, the fifth resistor R5, and the sixth operational amplifier U6 form a differential amplifier to amplify a potential difference between two electrodes of the sodium-ion potential sensor, where a differential mode amplification factor au=r5/R3. The second low-pass filter circuit 125 includes a seventh operational amplifier U7 and an eighth operational amplifier U8, the seventh operational amplifier U7 and the eighth operational amplifier U8 respectively form a second-order operational amplifier, the seventh operational amplifier U7 and the eighth operational amplifier U8 are serially connected to form a fourth-order low-pass filter, and the inverting input terminals of the seventh operational amplifier U7 and the eighth operational amplifier U8 are connected to the non-inverting input terminal of the eighth operational amplifier U8, i.e. the second low-pass filter circuit 125 has no amplifying function and a gain of 1, so that the second low-pass filter circuit 125 can filter high-frequency noise, allow low-frequency signals to pass, and does not change the voltage amplitude.

It should be noted that: electrochemical detection is to convert a reaction signal into an electric signal, and determine the concentration value of a target analyte by measuring electric signal parameters such as potential, current or impedance. According to the electrochemical detection principle, the electrochemical detection technology can be divided into the following types: potential type, current type, impedance type, electric quantity type, and the like. The invention selects potential type to design the detection front-end module of sweat electrolyte. Potential electrochemical detection technology: potentiometric techniques refer to measuring the change in potential with the change in concentration of the target analyte at zero current, which is useful for detecting ions in sweat, including sodium, potassium, and calcium ions. The potential method has various functional electrodes, mainly including ion-selective electrodes and metal-based electrodes. An ion selective electrode of the formula is used for detecting ions in sweat on a body surface. In the detection system of the ion selective sensor, a double-electrode electrochemical system is adopted, and a working electrode and a reference electrode are simultaneously placed in a solution to form a battery. The working electrode is modified by the ion selective carrier, so that the potential of the working electrode can regularly change according to the Nernst equation according to the change of the concentration of target ions, and the potential of the reference electrode is relatively stable. The concentration of the ions to be measured can be reflected by measuring the potential difference between the two electrodes.

Referring to fig. 1 and 4, in a further implementation of an embodiment, the temperature detection module 130 includes: a temperature sensor 131 and a temperature detection unit 132; the temperature detection unit 132 is connected to the temperature sensor 131; wherein the temperature detecting unit 132 includes: a wheatstone bridge circuit 133, a second differential amplifying circuit 134 and a third low-pass filter circuit 135; the wheatstone bridge circuit 133 is connected to the temperature sensor 131 and the second differential amplifying circuit 134, respectively, and is configured to send a voltage signal output according to a temperature change of the temperature sensor 131 to the second differential amplifying circuit 134; the second differential amplifying circuit 134 is connected to the wheatstone bridge circuit 133 and the second low-pass filter circuit 125, and is configured to amplify the voltage signal output according to the temperature change of the temperature sensor 131 and output a second amplified signal to the second low-pass filter circuit 125; the second low-pass filter circuit 125 is connected to the second differential amplifying circuit 134 and the control module 160, respectively, and is configured to filter the second amplified signal and output the filtered signal to the control module 160.

Specifically, the temperature sensor 131 is an NTC type temperature sensor, and the NTC thermistor is a type of sensor resistor whose resistance value decreases with an increase in temperature. The pre-stage circuit employs a wheatstone bridge circuit 133, which consists of four resistors and an excitation voltage, the bridge output voltage being 0 when the four resistors are proportional. The NTC thermistor is connected into the bridge, when the temperature changes, the resistors are unbalanced, and under the action of exciting voltage, the bridge terminal generates differential voltage which is proportional to the voltage change. The intermediate stage is amplified by the second differential amplifying circuit 134, and the latter stage performs noise filtering by the third low-pass filter circuit 135 (butterworth low-pass filter).

The second differential amplifying circuit 134 includes a sixth resistor R6, a seventh resistor R7, an eighth resistor R8, and a ninth operational amplifier U9, one end of the sixth resistor R6 is connected to one leg of the wheatstone bridge circuit 133, the other end is connected to the inverting input end of the ninth operational amplifier U9, one end of the seventh resistor R7 is connected to the other leg of the wheatstone bridge circuit 133, the other end is connected to the non-inverting input end of the ninth operational amplifier U9, the eighth resistor R8 is connected between the inverting input end and the output end of the ninth operational amplifier U9, and the output end of the ninth operational amplifier U9 is connected to the third low-pass filter circuit 135. The third low-pass filter circuit 135 includes a tenth operational amplifier U10 and an eleventh operational amplifier U11, and the tenth operational amplifier U10 and the eleventh operational amplifier U11 are connected in series to form a fourth-order low-pass filter. When the resistance of the NTC temperature sensor 131 changes with temperature, a small voltage signal difference is generated between the node V1 and the node V2 of the two bridge arms of the wheatstone bridge circuit 133, and the voltage signal difference is amplified by the second differential amplifying circuit 134 and then output to the second low-pass filtering circuit 125, where the voltage gain au=r8/R6, and then the second amplified signal is filtered by the second low-pass filtering circuit 125 and then output to the analog-to-digital conversion unit 162.

Referring to fig. 1 and 5, in a further implementation of an embodiment, the heart rate detection module 140 includes: a heart rate sensor 141 and a heart rate detection unit 142; the heart rate detection unit 142 is connected with the heart rate sensor 141; wherein the heart rate detection unit 142 includes: a filter circuit 143 and an amplifying circuit 144; the heart rate sensor 141 is connected to the filter circuit 143, and is configured to emit a light source, receive reflected light reflected by human tissue, and convert the reflected light into an electrical signal for output; the filter circuit 143 is connected to the heart rate sensor 141 and the amplifying circuit 144, and is configured to perform noise filtering processing on the electrical signal output by the heart rate sensor 141 and output a low-frequency signal to the amplifying circuit 144; the amplifying circuit 144 is connected to the filtering circuit 143 and the control module 160, and is configured to amplify the low frequency signal and output a third amplified signal to the control module 160.

Specifically, the heart rate sensor 141 is a heart rate photoelectric sensor, and is composed of a photoelectric conversion circuit (Photoelectric conversion) which is composed of a light emitting diode LED1 having a wavelength of 500nm to 700nm and an ambient light sensor U0 based on a photo-volume method. The filter circuit 143 includes a tenth resistor R10 and a first capacitor C1, where the tenth resistor R10 is connected to an output end of the ambient light sensor U0 and one end of the first capacitor C1, and the tenth resistor R10 and the first capacitor C1 form an RC filter circuit 143. The amplifying circuit 144 includes a twelfth operational amplifier U12, a non-inverting input terminal of the twelfth operational amplifier U12 is connected to the output terminal of the filtering circuit 143, and an output terminal of the twelfth operational amplifier U12 is connected to the analog-to-digital conversion unit 162.

When the light emitted from the light emitting diode LED1 is reflected by the blood vessel of the human skin tissue, the light is received by the photoreceptor to be photoelectrically converted into a voltage signal. Since the pulse signal frequency band is between 0.05hz and 100hz, the intermediate RC filter circuit is required to perform noise filtering processing and output low-frequency signals. Since the amplitude of the converted electric signal is small and is in the millivolt level, the electric signal needs to be amplified by the amplifying circuit 144 at the subsequent stage to be output within a voltage range that can be collected by the microcontroller 161.

Referring to fig. 1, in a further implementation of an embodiment, the power module 150 includes: a lithium battery 151 and a power management unit 152; wherein the lithium battery 151 is connected with the power management unit 152; the power management unit 152 is respectively connected to the glucose detection module 110, the sodium ion detection module 120, the temperature detection module 130, the heart rate detection module 140, and the control module 160, and is configured to supply power to the glucose detection module 110, the sodium ion detection module 120, the temperature detection module 130, the heart rate detection module 140, and the control module 160.

Specifically, the lithium battery 151 is capable of storing electrical energy and powering the entire wearable biosensing monitoring device 100 through the power management unit 152.

The control module 160 has a power management mechanism and has an associated sleep function: i.e. the power consumption of the system can be switched between an Active mode, a moderate sleep (Modem-sleep) mode and a low sleep (Light-sleep) mode. The power consumption of the Active mode is highest, the power consumption of the Modem-sleep mode is inferior, and the power consumption of the Light-sleep mode is lowest. The MCU, the wireless module, the Bluetooth and the radio frequency can be awakened according to a preset time interval by setting the switching between different sleep modes and the sleep time length, so that the system power consumption and the energy conservation are realized.

When the wearable biosensing monitoring device 100 is initialized, the wearable biosensing monitoring device enters a low-power-consumption working mode state, and after entering the low-power-consumption mode, the system-on-chip current does not exceed 1mA. The timer in the microcontroller 161 triggers an interrupt mechanism at regular time, and the system on chip is woken up to quickly enter an active mode (normal working mode) to start the actions of data acquisition, conversion, amplification, filtering and the like of physiological signals and biochemical signals. After the signal detection is completed, the wearable biosensing monitoring device 100 reenters the sleep state, continues to enter the low power consumption mode, and resets the interval time of sleep and wake-up according to the measured heart rate parameter, so as to sample the number of the first data, thereby realizing self-adaptive energy saving.

The present invention is described below with reference to specific examples.

Referring to fig. 6 in combination with fig. 1, first, the wearable biosensing monitoring device 100 starts a main program and performs system initialization, and then the microcontroller 161 starts wireless communication, so that the wireless unit 163 and the mobile terminal 200 (the mobile terminal 200 also starts wireless transmission) are wirelessly connected.

The wearable biosensing monitoring device 100 enters a low power consumption mode state after initializing, starts a timer, and interrupts the wake-up microcontroller 161 from the sleep mode to the normal operation mode after expiration of the timer. The glucose detection module 110, the sodium ion detection module 120, the temperature detection module 130, and the heart rate detection module 140 are activated. The microcontroller 161 collects and processes the electrical signals passing through the glucose detection module 110, the sodium ion detection module 120, the temperature detection module 130 and the heart rate detection module 140 through the analog-to-digital conversion unit 162, packages the glucose parameter, the sodium ion parameter, the temperature parameter and the heart rate parameter obtained after the collection and processing, sends the packaged glucose parameter, the sodium ion parameter, the temperature parameter and the heart rate parameter to the mobile terminal 200, receives the packaged glucose parameter, the sodium ion parameter, the temperature parameter and the heart rate parameter through the mobile terminal 200, performs data conversion, displays and stores the packaged glucose parameter, the sodium ion parameter, the temperature parameter and the heart rate parameter, and draws physiological signal and biochemical signal curves in real time. Meanwhile, the collected heart rate parameter (BPM) is determined, when the heart rate parameter is smaller than 100, the motion intensity is considered to be small, and the microcontroller 161 resets the sleep-wake-up time to 10 seconds, that is, enters the normal working mode from the low power consumption mode every 10 seconds to perform data collection processing. When the heart rate is greater than 100, the motion intensity is considered to be high, and the microcontroller 161 resets the sleep-wake time to 4 seconds, i.e., enters the normal operation mode from the low power consumption mode every 4 seconds. The sleep time interval is dynamically adjusted according to the monitored heart rate parameters, and the working mode of the system is adjusted, so that self-adaption energy conservation is realized, and the endurance capacity of the wearable equipment is improved.

Referring to fig. 7, in some embodiments, the present invention further provides a wearable biosensing monitoring method applied to the wearable biosensing monitoring device, which includes the steps of:

s100, respectively detecting a glucose signal, a sodium ion signal, a temperature signal and a heart rate signal through a glucose detection module, a sodium ion detection module, a temperature detection module and a heart rate detection module, and feeding back the glucose signal, the sodium ion signal, the temperature signal and the heart rate signal to a control module; in particular, embodiments of a wearable biosensing monitoring system are described, and are not described in detail herein.

S200, the control module obtains glucose parameters, sodium ion parameters, temperature parameters and heart rate parameters according to the glucose signals, the sodium ion signals, the temperature signals and the heart rate signals; in particular, embodiments of a wearable biosensing monitoring system are described, and are not described in detail herein.

And S300, the control module sends the glucose parameter, the sodium ion parameter, the temperature parameter and the heart rate parameter to a mobile terminal for real-time display. In particular, embodiments of a wearable biosensing monitoring system are described, and are not described in detail herein.

The invention further provides a method, which further comprises the steps of:

S400, the control module controls the working mode of the wearable biological sensing monitoring device according to the heart rate parameter; and when the heart rate parameter is greater than the preset heart rate parameter, the microcontroller is awakened every second preset time. In particular, embodiments of a wearable biosensing monitoring system are described, and are not described in detail herein.

In summary, the wearable biosensing monitoring device, system and method provided by the invention have the following beneficial effects:

the glucose detection module, the sodium ion detection module, the temperature detection module and the heart rate detection module are integrated on the wearable device to realize continuous and dynamic monitoring of physiological parameters (temperature parameters and heart rate parameters) and biochemical parameters (glucose parameters and sodium ion parameters), so that the body function state in the movement process of a user can be completely described, namely, the multi-parameter change conditions such as physiological signals, biochemical signals and the like in the movement process of a human body can be monitored noninvasively, in real time and continuously;

The power management mechanism can enable the system to switch between a normal working mode and a low-power consumption mode, dynamically adjust the sleep time, realize self-adaption energy conservation and improve the endurance capacity of the wearable equipment.

It is to be understood that the invention is not limited in its application to the examples described above, but is capable of modification and variation in light of the above teachings by those skilled in the art, and that all such modifications and variations are intended to be included within the scope of the appended claims.

Claims

1. A wearable biosensing monitoring device, comprising: the device comprises a glucose detection module, a sodium ion detection module, a temperature detection module, a heart rate detection module, a power supply module and a control module; wherein,,

2. The wearable biosensing monitoring device of claim 1, wherein the control module comprises: the device comprises a microcontroller, an analog-to-digital conversion unit and a wireless unit; wherein,,

3. The wearable biosensing monitoring device of claim 1, wherein the glucose detection module comprises: a glucose sensor and a glucose detection unit; the glucose detection unit is connected with the glucose sensor;

4. The wearable biosensing monitoring device of claim 1, wherein the sodium ion detection module comprises: a sodium ion sensor and a sodium ion detection unit; the sodium ion detection module is connected with the sodium ion sensor;

5. The wearable biosensing monitoring device of claim 1, wherein the temperature detection module comprises: a temperature sensor and a temperature detection unit; the temperature detection unit is connected with the temperature sensor;

the Wheatstone bridge circuit is respectively connected with the temperature sensor and the second differential amplifying circuit and is used for outputting a voltage signal output according to the temperature change of the temperature sensor to the second differential amplifying circuit;

6. The wearable biosensing monitoring device of claim 1, wherein the heart rate detection module comprises: a heart rate sensor and a heart rate detection unit; the heart rate detection unit is connected with the heart rate sensor;

7. The wearable biosensing monitoring device of claim 1, wherein the power module comprises: a lithium battery and power management unit; wherein,,

The lithium battery is connected with the power management unit;

8. A wearable biosensing monitoring system, characterized by comprising a mobile terminal and a wearable biosensing monitoring device according to any of claims 1-7; wherein,,

9. A wearable biosensing monitoring method applied to the wearable biosensing monitoring device of any of claims 1-7, comprising:

10. The wearable biosensing monitoring method of claim 9, further comprising: